Artificial Intelligence

Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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4,381 to 4,440 of 15,271

MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents
Dongming Jiang, Yi Li, Guanpeng Li +1
cs.AIarXiv:2601.03236v22026
ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models
Chonghan Qin, Xiachong Feng, Weitao Ma +2
cs.AIarXiv:2604.08064v22026
VOID: Video Object and Interaction Deletion
Saman Motamed, William Harvey, Benjamin Klein +3
cs.CVcs.AIarXiv:2604.02296v12026
Self- and Other-Labels Induce Bidirectional Bias in LLM Judges
Songeun Chae, Min Kim, Donghoon Jung +2
cs.CLcs.AIarXiv:2608.18091v12026
Unified Panoramic Geometry Estimation via Multi-View Foundation Models
Vukasin Bozic, Isidora Slavkovic, Dominik Narnhofer +4
cs.CVcs.AIarXiv:2605.26368v22026
Risk-Aware Decision-Making for Autonomous Overtaking: A World Model-Based Mixture-of-Experts Framework
Yongzhi Liu, Sunan Zhang, Jinchang Xu +4
cs.ROcs.AIcs.LGarXiv:2609.00385v12026
Coronavirus Optimization Algorithm: A Success-History Adaptive Evolutionary Framework with Archive-Assisted Search and Stagnation Recovery for Global Optimization
Hari Mohan Pandey
cs.NEcs.AIcs.CCarXiv:2608.23847v12026
A2DINOv3: Rethinking Multi-Modal Object Detection via Socialized Collaboration
Jiekang Feng, Zhihe Fan, Yunqi Zhu +5
cs.CVcs.AIarXiv:2608.21099v12026
Hume: Introducing System-2 Thinking in Visual-Language-Action Model
Haoming Song, Delin Qu, Yuanqi Yao +9
cs.ROcs.AIarXiv:2505.21432v42025
FinFraudBench: A Heterogeneous Graph Benchmark for Financial Fraud Detection
Yixuan Chen, Hongyu Zhan, Jie Sheng +5
cs.LGcs.AIarXiv:2608.15177v12026
JarvisBench: Always-on Intelligence Between Humans and Agents
Chen Chen, Zhehuai Chen
cs.AIarXiv:2608.14870v12026
Panoptic Pairwise Distortion Graph
Muhammad Kamran Janjua, Abdul Wahab, Bahador Rashidi
cs.CVcs.AIcs.LGarXiv:2604.11004v12026
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
Jiayi Zhang, Simon Yu, Derek Chong +4
cs.CLcs.AIarXiv:2510.01171v42025
Reinforced Latent Reasoning for LLM-based Recommendation
Yang Zhang, Wenxin Xu, Xiaoyan Zhao +4
cs.AIarXiv:2505.19092v22025
Self-rewarding correction for mathematical reasoning
Wei Xiong, Hanning Zhang, Chenlu Ye +3
cs.AIcs.LGarXiv:2502.19613v12025
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner
Emmanuel Dupoux
cs.CLcs.AIcs.LGarXiv:1607.08723v42016
International AI Safety Report
Yoshua Bengio, Sören Mindermann, Daniel Privitera +93
cs.CYcs.AIcs.LGarXiv:2501.17805v12025
Personalizing Dialogue Agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek +3
cs.AIcs.CLarXiv:1801.07243v52018
A Systematic Survey of Automatic Prompt Optimization Techniques
Kiran Ramnath, Kang Zhou, Sheng Guan +18
cs.CLcs.AIarXiv:2502.16923v22025
MineCEraft: Evaluating Language Models as Construction Engineers in the World of Minecraft
Sewoong Lee, Risham Sidhu, Julia Hockenmaier +1
cs.AIarXiv:2608.28884v12026
Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies
Chen Xu, Tony Khuong Nguyen, Emma Dixon +7
cs.ROcs.AIcs.LGarXiv:2503.08558v32025
Fairness in Recommender Systems: Research Landscape and Future Directions
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogin +2
cs.IRcs.AIarXiv:2205.11127v42022
OrcaLoca: An LLM Agent Framework for Software Issue Localization
Zhongming Yu, Hejia Zhang, Yujie Zhao +4
cs.SEcs.AIarXiv:2502.00350v22025
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids
Toru Lin, Kartik Sachdev, Linxi Fan +2
cs.ROcs.AIcs.CVarXiv:2502.20396v22025
A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
Zixuan Ke, Fangkai Jiao, Yifei Ming +9
cs.AIcs.CLarXiv:2504.09037v42025
Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost
Zihang Liang, Haochen Zhang, Lingzhou Xue
stat.MLcs.AIcs.LGarXiv:2609.00193v12026
EGT-KG: Evidence-Grounded Typed KG Retrieval for Practical Scientific QA with Small Language Models
Muran Yu, Jiechao Gao, Yuandong Pan +5
cs.AIarXiv:2609.00479v12026
An Introduction to Causal Reinforcement Learning
Elias Bareinboim, Junzhe Zhang, Sanghack Lee
cs.AIarXiv:2606.24160v12026
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency
Erik Johannes Husom, Arda Goknil, Merve Astekin +5
cs.CYcs.AIcs.CLarXiv:2504.03360v12025
MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning
Chanwoo Park, Seungju Han, Xingzhi Guo +3
cs.AIarXiv:2502.18439v22025
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning
Kun Shao, Yuanheng Zhu, Dongbin Zhao
cs.AIcs.LGcs.MAarXiv:1804.00810v12018
Towards a Belief-Based World Model for LLM Agents
Shubham Kumar, Harshit Kumar, Narendra Ahuja +1
cs.AIarXiv:2609.00455v12026
Process Reward Models for LLM Agents: Practical Framework and Directions
Sanjiban Choudhury
cs.LGcs.AIarXiv:2502.10325v12025
RestoreBench: Can AI Agents Restore Power Flow Convergence?
Riccardo Mansutti, Andrea Pomarico, Robert Jakob +3
cs.AIeess.SYarXiv:2609.00384v12026
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sifan Wang, Ananyae Kumar Bhartari, Bowen Li +1
cs.LGcs.AIphysics.comp-pharXiv:2502.00604v22025
Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning
Michael Hassid, Gabriel Synnaeve, Yossi Adi +1
cs.CLcs.AIarXiv:2505.17813v22025
Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design
Zhi Zheng, Zhuoliang Xie, Zhenkun Wang +1
cs.AIarXiv:2501.08603v32025
El Agente: An Autonomous Agent for Quantum Chemistry
Yunheng Zou, Austin H. Cheng, Abdulrahman Aldossary +13
cs.AIcs.LGcs.MAarXiv:2505.02484v22025
Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
Yuanchen Bei, Tianxin Wei, Xuying Ning +7
cs.CLcs.AIarXiv:2601.03515v12026
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
Samuel Daulton, David Eriksson, Maximilian Balandat +1
cs.LGcs.AImath.OCarXiv:2109.10964v42021
Knowledge Distillation under Teacher Misspecification: An Order-Parameter Analysis of the Gap between Teacher Mimicry and Task Performance
Kazuyuki Hara, Hideitsu Hino
cs.LGcs.AIarXiv:2608.29472v12026
Any6D: Model-free 6D Pose Estimation of Novel Objects
Taeyeop Lee, Bowen Wen, Minjun Kang +3
cs.CVcs.AIcs.ROarXiv:2503.18673v22025
Autellix: An Efficient Serving Engine for LLM Agents as General Programs
Michael Luo, Xiaoxiang Shi, Colin Cai +8
cs.LGcs.AIcs.DCarXiv:2502.13965v12025
Generalized Interpolating Discrete Diffusion
Dimitri von Rütte, Janis Fluri, Yuhui Ding +3
cs.CLcs.AIcs.LGarXiv:2503.04482v22025
OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety
Sanidhya Vijayvargiya, Aditya Bharat Soni, Xuhui Zhou +4
cs.AIarXiv:2507.06134v22025
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
Kaijie Zhu, Xianjun Yang, Jindong Wang +2
cs.CRcs.AIarXiv:2502.05174v42025
On-Policy Distillation Meets Off-Policy GRPO: Training Compact Instruction-Following Rerankers
Vignesh Prabhakar, Jialing Pan, Anil Babu Ankisettipalli
cs.LGcs.AIarXiv:2609.01947v12026
OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation
Yunqin Zhu, Feng Qiu, Yao Xie
cs.LGcs.AIarXiv:2609.01896v12026
Import What You Need: Learning When and How to Augment EHR Graphs with External Knowledge
Chen Chen, Mohsen Nayebi Kerdabadi, Dongjie Wang +2
cs.LGcs.AIarXiv:2609.01839v12026
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features
Changde Du, Kaicheng Fu, Jinpeng Li +1
cs.CVcs.AIcs.MMarXiv:2210.06756v22022
SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning
Edward Y. Chang, Longling Geng
cs.AIarXiv:2503.11951v32025
Path Planning for Masked Diffusion Model Sampling
Fred Zhangzhi Peng, Zachary Bezemek, Sawan Patel +5
cs.LGcs.AIarXiv:2502.03540v52025
LLMs4OL: Large Language Models for Ontology Learning
Hamed Babaei Giglou, Jennifer D'Souza, Sören Auer
cs.AIcs.CLcs.ITarXiv:2307.16648v22023
SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams
Ao Yan, Xin Zhang, Jiawei Du +1
cs.AIarXiv:2609.02217v12026
Recent Advances in Discrete Speech Tokens: A Review
Yiwei Guo, Zhihan Li, Hankun Wang +7
eess.AScs.AIcs.MMarXiv:2502.06490v42025
A Framework for Human Evaluation of Large Language Models in Healthcare Derived from Literature Review
Thomas Yu Chow Tam, Sonish Sivarajkumar, Sumit Kapoor +12
cs.CLcs.AIarXiv:2405.02559v22024
SIoU Loss: More Powerful Learning for Bounding Box Regression
Zhora Gevorgyan
cs.CVcs.AIarXiv:2205.12740v12022
DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
Hao Li, Xiaogeng Liu, Hung-Chun Chiu +3
cs.CRcs.AIarXiv:2506.12104v32025
Ethical and social risks of harm from Language Models
Laura Weidinger, John Mellor, Maribeth Rauh +20
cs.CLcs.AIcs.CYarXiv:2112.04359v12021
RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
Zijing Zhang, Ziyang Chen, Mingxiao Li +2
cs.LGcs.AIarXiv:2507.22844v12025

Artificial Intelligence

MAGMA: A Multi-Graph based Agentic Memory Architecture for AI Agents

ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models

VOID: Video Object and Interaction Deletion

Self- and Other-Labels Induce Bidirectional Bias in LLM Judges

Unified Panoramic Geometry Estimation via Multi-View Foundation Models

Risk-Aware Decision-Making for Autonomous Overtaking: A World Model-Based Mixture-of-Experts Framework

Coronavirus Optimization Algorithm: A Success-History Adaptive Evolutionary Framework with Archive-Assisted Search and Stagnation Recovery for Global Optimization

A2DINOv3: Rethinking Multi-Modal Object Detection via Socialized Collaboration

Hume: Introducing System-2 Thinking in Visual-Language-Action Model

FinFraudBench: A Heterogeneous Graph Benchmark for Financial Fraud Detection

JarvisBench: Always-on Intelligence Between Humans and Agents

Panoptic Pairwise Distortion Graph

Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity

Reinforced Latent Reasoning for LLM-based Recommendation

Self-rewarding correction for mathematical reasoning

Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner

International AI Safety Report

Personalizing Dialogue Agents: I have a dog, do you have pets too?

A Systematic Survey of Automatic Prompt Optimization Techniques

MineCEraft: Evaluating Language Models as Construction Engineers in the World of Minecraft

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies

Fairness in Recommender Systems: Research Landscape and Future Directions

OrcaLoca: An LLM Agent Framework for Software Issue Localization

Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems

Provably Efficient Federated Reinforcement Learning with Linear Function Approximation and Logarithmic Communication Cost

EGT-KG: Evidence-Grounded Typed KG Retrieval for Practical Scientific QA with Small Language Models

An Introduction to Causal Reinforcement Learning

Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency

MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning

StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning

Towards a Belief-Based World Model for LLM Agents

Process Reward Models for LLM Agents: Practical Framework and Directions

RestoreBench: Can AI Agents Restore Power Flow Convergence?

Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective

Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

El Agente: An Autonomous Agent for Quantum Chemistry

Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents

Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces

Knowledge Distillation under Teacher Misspecification: An Order-Parameter Analysis of the Gap between Teacher Mimicry and Task Performance

Any6D: Model-free 6D Pose Estimation of Novel Objects

Autellix: An Efficient Serving Engine for LLM Agents as General Programs

Generalized Interpolating Discrete Diffusion

OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents

On-Policy Distillation Meets Off-Policy GRPO: Training Compact Instruction-Following Rerankers

OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation

Import What You Need: Learning When and How to Augment EHR Graphs with External Knowledge

Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features

SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning

Path Planning for Masked Diffusion Model Sampling

LLMs4OL: Large Language Models for Ontology Learning

SkillGLoW: Procedural-Family Skill Consolidation for Self-Improving Agents on Long-Horizon Task Streams

Recent Advances in Discrete Speech Tokens: A Review

A Framework for Human Evaluation of Large Language Models in Healthcare Derived from Literature Review

SIoU Loss: More Powerful Learning for Bounding Box Regression

DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents

Ethical and social risks of harm from Language Models

RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents